Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R

What you'll learn
Learn how to solve real life problem using the Machine learning techniques
Machine Learning models such as Linear Regression, Logistic Regression, KNN etc.
Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, SVM etc.
Understanding of basics of statistics and concepts of Machine Learning
How to do basic statistical operations and run ML models in Python
In-depth knowledge of data collection and data preprocessing for Machine Learning problem
How to convert business problem into a Machine learning problem

Requirements
Students will need to install Anaconda software but we have a separate lecture to guide you install the same

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